Trust
Data observability
Data observability applies the ideas of software monitoring to data, so teams learn about broken or stale data before their users do.
Signals commonly monitored
Freshness
Did the data update on time?
Volume
Did the expected number of rows arrive?
Schema
Did columns change unexpectedly?
Distribution
Are values within normal ranges?
Lineage
What upstream change caused this, and what is affected downstream?
Incidents
Who was alerted, and how it was resolved.
Work with ex omnia
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